Abstract
Women’s susceptibility to HIV/AIDS infection is related to socio-economic and demographic factors. This study sought to analyze socio-economic and demographic factors related to knowledge and attitude of HIV/AIDS among women aged 15–49 years old in Indonesia. We conducted a secondary data analysis using the 2017 Indonesian Demographic and Health Survey (IDHS). Among 49,627 women, our study analyzed 25,895 women aged 15–49 years familiar with HIV terminology. Multiple logistic regression was utilized to analyze associations between socio-economic and demographic factors with knowledge and attitudes toward HIV/AIDS. Women’s age, education level, wealth quintile, residential area and region, access to information, owning cell phones and autonomy were significantly associated with positive knowledge and attitudes toward HIV/AIDS. These findings revealed that several demographical and social factors contribute to knowledge and attitudes toward HIV/AIDS among women aged 15–49 years in Indonesia.
Keywords: AIDS, attitude, demographic factors, demographic health, HIV, knowledge, socio-economic, survey, women
1. Introduction
Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) is still a significant global burden [1,2]. Even though substantial efforts have been made to reduce the HIV/AIDS infection rate and its prevalence, in 2019, more than 35 million people were living with HIV/AIDS (PLWHA); the majority reside in Sub-Saharan Africa [1,3,4]. The Southeast Asia region ranks second globally, with many PLWHA. Data from the United Nations (UN) revealed that approximately 19 million people do not know their HIV/AIDS status [5]. The World Health Organization (WHO) stated that 78% of new infections are in the Pacific region. A total of 5.1 million people in the Asia and Pacific Region are infected with HIV, including approximately 1.80 million adult women and 1.60 million adult men. As many as 3.8 million are infected with HIV/AIDS in Southeast Asia [6]. In low and middle-income countries, the prevalence of HIV/AIDS among women is three times higher than for men [7].
In Indonesia, in 2019, the number of HIV/AIDS cases reported was 50,282 [8]. In Indonesia, women are estimated to be four times more likely to be infected than men. Women are considered a vulnerable group infected with HIV/AIDS due to reproductive and genital anatomical structures facilitating the transmission of HIV through sexual intercourse [9]. Women’s vulnerability is formed by several factors, including socio-cultural, economic and biological factors. The interconnection between gender inequality, migration, barriers to accessing health services and low levels of education increase women’s vulnerability to contracting HIV/AIDS. In addition, many women contract HIV/AIDS from their husbands/partners who have unsafe sexual behavior and use drugs [5].
Lack of knowledge may lead to negative attitudes towards PLWHA. It could contribute to insufficient practice for prevention, treatment, and the risk of transmission among the community. Knowledge about HIV/AIDS and its transmission can be mainly achieved by increasing acceptance towards PLWHA and making people more caring [10,11]. Several studies have demonstrated that people tend to have negative attitudes and report not buying vegetables from PLWHA-status sellers [12,13,14]. These PLWHA have physical, economic, social and psychological consequences as HIV-infected patients are reportedly rejected by healthcare services [14], experience poor quality treatment, are refused when applying for jobs due to HIV/AIDS status, and experience forced early resignation from their employment [12,13].
Knowledge and attitudes may affect behaviour toward HIV/AIDS [15]. Sufficient knowledge and positive attitudes concerning HIV/AIDS provide empirical evidence for policymakers and stakeholders with which to design and implement appropriate prevention mechanisms [16,17]. Previous studies in East Africa and Vietnam revealed that lack of knowledge among women can be attributed to the negative attitudes towards PLWHA [15,18]. Some previous studies concluded that good knowledge and a positive attitude are important indicators in the prevention of HIV transmission [19,20,21]. One study among women of childbearing age in South Sudan showed that women living in urban areas had better knowledge compared to women living in rural areas [22]. Several studies have been conducted concerning HIV/AIDS prevention [23,24], while scarce literature addresses socio-economic and demographic factors associated with knowledge and attitudes toward HIV/AIDS in Indonesia. Knowledge and attitudes concerning HIV/AIDS among Indonesian women remain critical concerns as some studies revealed insufficient knowledge and negative attitudes [25,26,27]. Further, recent studies regarding the knowledge and attitudes of HIV/AIDS in Indonesia reemphasized that behavioral issues remain a challenge [9,28].
This study can aid in establishing knowledge, provide a basis for further research in HIV/AIDS and assist the government in strengthening and modifying the program to approach the HIV/AIDS issue. Possessing good knowledge and a positive attitude in relation to HIV/AIDS is very important for avoiding HIV transmission and to end the discrimination among PLWHA. There is increasing concern that some women of reproductive age lack accurate and complete information on how to prevent HIV/AIDS transmission. In line with these concerns, the objective of our study was to assess socio-economic and demographic factors related to knowledge and attitudes toward HIV/AIDS among women aged 15–49 years in Indonesia.
2. Methods
2.1. Design and Data Source
We conducted a secondary data analysis utilizing the most recent data from the 2017 Indonesia Demographic Health and Survey (IDHS). This study was part of an international DHS program that ensured ethical standards, including confidentiality, anonymity, and informed consent. IDHS ethical clearance was obtained from the Inner City Fund (ICF) International (ethical approval number 45 CFR 46). For this study, permission to use the data was obtained from ICF International. Additionally, ethical approval was obtained before the survey was conducted, and all participants provided written informed consent. All participation in this study was voluntary and subjects were able to withdraw their participation at anytime from the study.
This study used women’s questionnaire topics which included questions that assessed women’s knowledge of HIV and other sexually transmitted infections, the sources of their knowledge about HIV, knowledge about ways to avoid contracting HIV, HIV testing, stigma and discrimination, and high-risk sexual behaviour [29]. A series of questions on questionnaires about HIV/AIDS was required to be answered by women related to the (DHS) standard. The Model Questionnaires of the DHS Program emphasize basic indicators and several modules [30]. The data quality issue is a serious concern and sustained attention from DHS implementers to improve the validity and reliability of questionnaire is evident [31]. Continual improvement of the methodology including the questions for each questionnaire is performed collaboratively among various stakeholders. The questionnaire is open and available to the public at the DHS website, which can be accessed using the following link: https://dhsprogram.com/pubs/pdf/DHSQ8/DHS8_Womans_QRE_EN_8Apr2022_DHSQ8.pdf (accessed on 9 April 2022).
There were sections on knowledge and attitudes toward HIV/AIDS in the questionnaires. Questions on knowledge of HIV/AIDS included reducing risk, and concerned aspects such as always using a condom during sexual intercourse, only having one partner, getting HIV through mosquito bites or by sharing food with PLWHA, that people who appear healthy can have HIV, can contract HIV through supernatural powers, getting HIV through unsterilized needles, and that HIV can be transmitted during pregnancy, childbirth and breastfeeding. Questions on attitudes toward HIV/AIDS included wanting to keep HIV infection in the family a secret, willingness to care for families with AIDS, whether children with HIV are allowed to go to school with children who are not HIV positive and whether they would buy vegetables from a seller who has HIV.
The cross-sectional study represented 1970 census blocks of urban and rural areas covering 49,250 households across 34 provinces in Indonesia. This survey was conducted in several steps, including a pretest (July–August 2016), training of field staff (July 2017), and fieldwork (24 July–30 September 2017). A two-stage stratified cluster sampling method was employed to recruit the respondents in this study. First, several census blocks were selected by performing systematic sampling of the proportional size. Second, 25 ordinary households were chosen from the list via systematic sampling. With these data, the inclusion criteria for our study were as follows: aged 15–49 years, those who were interviewed during the survey and participants who completed all of the questions including those on HIV/AIDS issues. We excluded women who did not answered and complete all of the questions of the survey. Women’s weight was obtained and individual recording of data during the analysis was applied. Among 49,627 women, our study analyzed 25,895 women aged 15–49 years based on the inclusion criteria. This study was a representative of national study involving women over all provinces in Indonesia.
2.2. Variables
The dependent variables were knowledge and attitudes toward HIV/AIDS. In this study, knowledge on HIV/AIDS was categorized into the following two groups: poor and good, while attitudes on HIV/AIDS were categorized into positive and negative. Knowledge was categorized as poor if respondents only answered less than five correctly, and categorized as good if respondents answered ≥ 5 correctly. Attitudes were divided into positive if respondents answered ≥3 questions correctly and negative if they only answered 1–2 questions correctly. In this study, the independent variables related to socioeconomic and demographic factors, including age, education level, occupation, head of household, wealth quintile, area of residence, region of residence, access to information, mobile phone, autonomy, and women’s attitudes against wife-beating. The women’s age was divided into seven categories (15–19, 20–24, 25–29, 30–34, 35–39, 40–44, 45–49 years old). Women’ education levels were grouped into no school, primary, secondary, and higher education. Women’ employment status was divided into two categories of not working and working. The head of the household was divided into two categories of women and men. Wealth quintile was grouped into the following five categories: poorest, poorer, middle, richer, and richest, and was scored based on wealth criteria on the DHS report [32]. Place of residence was separated into rural and urban areas, while the provinces of Indonesia were defined as East, Middle and West. Access to information was categorized into never, less than once, and more than once per week. Mobile phones were divided into yes and no, while women’s autonomy was grouped into high and low. Women’s attitudes against wife-beating was divided into two categories of agree and disagree. All categories’ variables were determined based on the DHS report that adjusted to the minimum sample to meet the statistical interpretation [33].
2.3. Statistical Analysis
Descriptive statistics were used to describe the characteristics of the respondents. We used the chi-square test to assess associations between socio-economic and demographic factors and knowledge and attitudes toward HIV/AIDS. A multiple logistic regression analysis was performed, which presented an Odds Ratio (OR) and a 95% Confidence Interval (CI) to measure the variables’ associations. The statistical significance was identified if a p-value was under 0.05, which was considered for results to enter the multivariate analysis. All statistical analyses were carried out using Stata 16.
3. Results
3.1. Characteristics of the Respondents
Table 1 presents the distribution of knowledge and attitudes toward HIV/AIDS according to sociodemographic and demographic factors among women aged 15–49 years old in Indonesia. A total of 25,895 women who had complete HIV/AIDS data were included in the analysis, and 88.74% of women had a high level of knowledge, while 60.28% had negative attitudes toward PLWHA. Nearly one quarter (20.64%) were 35–39 years old. More than half (59.15%) of the respondents had received secondary education and were working (61.27%). Close to all of the respondents’ husbands were heads of the household (93.08%), while one quarter (25.15%) belonged to the wealthiest families. More than half (54.41%) resided in urban areas, while more than three quarters (84.51%) of the respondents lived in the West of Indonesia. More than half reported never accessing the Internet (55.76%), newspaper (58.93%), and radio (58.64%). More than three-quarters of the respondents’ accessed information more than once per week from television (88.10%), had a mobile phone (81.89%), had high autonomy (85.97%), and disagreed with wife-beating (82.49%). Further information about the respondents’ characteristics is presented in Table 1.
Table 1.
Characteristics of women aged 15–49 years in Indonesia.
| Characteristics | N | % |
|---|---|---|
| Age (Years) | ||
| 15–19 | 443 | 1.71 |
| 20–24 | 2561 | 9.89 |
| 25–29 | 4372 | 16.88 |
| 30–34 | 5106 | 19.72 |
| 35–39 | 5345 | 20.64 |
| 40–44 | 4425 | 17.09 |
| 45–49 | 3643 | 14.07 |
| Education level | ||
| No school | 112 | 0.43 |
| Primary | 6398 | 24.71 |
| Secondary | 15,316 | 59.15 |
| Higher | 4069 | 15.71 |
| Occupation | ||
| Not working | 10,029 | 38.73 |
| Working | 15,866 | 61.27 |
| Head of household | ||
| Men | 24,104 | 93.08 |
| Women | 1791 | 6.92 |
| Wealth index | ||
| Poorest | 2982 | 11.52 |
| Poorer | 4685 | 18.09 |
| Middle | 5507 | 21.27 |
| Richer | 6209 | 23.98 |
| Richest | 6512 | 25.15 |
| Resident | ||
| Rural | 11,806 | 45.59 |
| Urban | 14,089 | 54.41 |
| Province | ||
| West of Indonesia | 21,884 | 84.51 |
| Middle of Indonesia | 3485 | 13.46 |
| East of Indonesia | 526 | 2.03 |
| Access to Internet | ||
| Never | 14,439 | 55.76 |
| <1 per week | 648 | 2.50 |
| ≥1 per week | 10,808 | 41.74 |
| Access to television | ||
| Never | 515 | 1.99 |
| <1 per week | 2567 | 9.91 |
| ≥1 per week | 22,813 | 88.10 |
| Exposure to newspaper | ||
| Never | 15,259 | 58.93 |
| <1 per week | 7991 | 30.86 |
| ≥1 per week | 2645 | 10.21 |
| Access to radio | ||
| Never | 15,184 | 58.64 |
| <1 per week | 7035 | 27.17 |
| ≥1 per week | 3676 | 14.20 |
| Mobile phone | ||
| No | 4690 | 18.11 |
| Yes | 21,205 | |
| Autonomy | ||
| Low | 3632 | 14.03 |
| High | 22,263 | 85.97 |
| Women’s attitudes towards wife-beating | ||
| Agree | 4535 | 17.51 |
| Disagree | 21,360 | 82.49 |
| Knowledge toward HIV/AIDS | ||
| Poor | 2915 | 11.26 |
| Good | 22,980 | 88.74 |
| Attitudes toward PLWHA | ||
| Negative | 15,610 | 60.28 |
| Positive | 10,285 | 39.72 |
HIV/AIDS: Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome. PLWHA: People Living with HIV/AIDS.
3.2. Bivariate Analysis
In the bivariate analysis, an age of 15–19 years, lack of formal education, belonging to the poorest index, living in rural and West Indonesia, having no access to media, having no mobile phone, low autonomy and agreeing with wife-beating were associated with knowledge toward HIV/AIDS (Table 2). Similarly, an age of 15–19 years, having no formal education, belonging to the poorest index, living in rural and the West of Indonesia, having no access to the Internet, newspaper, radio, having no mobile phone, and agreeing with wife-beating were associated with attitudes toward HIV/AIDS (Table 3). No significant association was detected between an age of 20–49 years, occupation, and head of household.
Table 2.
Socioeconomic and demographic information and knowledge toward HIV/AIDS among women aged 15–49 years old in Indonesia.
| Characteristics | Knowledge | ||||
|---|---|---|---|---|---|
| Poor | Good | χ2 | |||
| n (2915) | % | n (22,980) | % | ||
| Age (years) | |||||
| 15–19 | 82 | 18.55 | 360 | 81.45 | 39.01 *** |
| 20–24 | 308 | 12.03 | 2253 | 87.97 | |
| 25–29 | 489 | 11.19 | 3883 | 88.81 | |
| 30–34 | 540 | 10.57 | 4566 | 89.43 | |
| 35–39 | 542 | 10.14 | 4803 | 89.86 | |
| 40–44 | 490 | 11.08 | 3935 | 88.92 | |
| 45–49 | 464 | 12.72 | 3180 | 87.28 | |
| Education level | |||||
| No school | 37 | 33.05 | 75 | 66.95 | 891.11 *** |
| Primary | 1318 | 20.60 | 5080 | 79.40 | |
| Secondary | 1453 | 9.49 | 13,863 | 90.51 | |
| Higher | 107 | 2.63 | 3962 | 97.37 | |
| Occupation | |||||
| Not working | 1185 | 11.81 | 8844 | 88.19 | 4.70 |
| Working | 1730 | 10.90 | 14,136 | 89.10 | |
| Head of household | |||||
| Men | 2726 | 11.31 | 21,378 | 88.69 | 0.87 |
| Women | 189 | 10.56 | 1602 | 89.44 | |
| Wealth index | |||||
| Poorest | 596 | 19.98 | 2386 | 80.02 | 679.12 *** |
| Poorer | 779 | 16.63 | 3906 | 83.37 | |
| Middle | 715 | 12.99 | 4792 | 87.01 | |
| Richer | 546 | 8.79 | 5663 | 91.21 | |
| Richest | 279 | 4.28 | 6233 | 95.72 | |
| Resident | |||||
| Rural | 1824 | 15.45 | 9983 | 84.55 | 353.28 *** |
| Urban | 1091 | 7.74 | 12,997 | 92.26 | |
| Province | |||||
| West of Indonesia | 2382 | 10.89 | 19,502 | 89.11 | 18.00 *** |
| Middle of Indonesia | 464 | 13.30 | 3022 | 86.70 | |
| East of Indonesia | 69 | 13.13 | 456 | 86.87 | |
| Access to internet | |||||
| Never | 2283 | 15.81 | 12,156 | 84.19 | 651.30 *** |
| <1 per week | 76 | 11.66 | 573 | 88.34 | |
| ≥1 per week | 556 | 5.15 | 10,251 | 94.85 | |
| Access to television | |||||
| Never | 83 | 16.08 | 432 | 83.92 | 15.81 ** |
| <1 per week | 320 | 12.46 | 2247 | 87.54 | |
| ≥1 per week | 2512 | 11.01 | 20,301 | 88.99 | |
| Exposure to newspaper | |||||
| Never | 2075 | 13.6 | 13,184 | 86.40 | 236.43 *** |
| <1 per week | 732 | 9.16 | 7259 | 90.84 | |
| ≥1 per week | 108 | 4.08 | 2537 | 95.92 | |
| Access to radio | |||||
| Never | 1937 | 12.76 | 13,247 | 87.24 | 83.40 *** |
| <1 per week | 684 | 9.72 | 6351 | 90.28 | |
| ≥1 per week | 294 | 7.99 | 3382 | 92.01 | |
| Mobile phone | |||||
| No | 918 | 19.58 | 3771 | 80.42 | 367.78 *** |
| Yes | 1997 | 9.42 | 19,209 | 90.58 | |
| Autonomy | |||||
| Low | 508 | 13.97 | 3124 | 86.03 | 28.90 *** |
| High | 2407 | 10.81 | 19,856 | 89.19 | |
| Women’s attitudes towards wife-beating | |||||
| Agree | 631 | 13.90 | 3905 | 86.10 | 35.71 *** |
| Disagree | 2284 | 10.69 | 19,075 | 89.31 | |
** χ2 < 0.01. *** χ2 < 0.001.
Table 3.
Socioeconomic and demographic information and attitudes toward HIV/AIDS among women aged 15–49 years old in Indonesia.
| Characteristics | Attitudes | ||||
|---|---|---|---|---|---|
| Negative | Positive | χ2 | |||
| n (15,610) | % | n (10,285) | % | ||
| Age (years) | |||||
| 15–19 | 274 | 62.00 | 168 | 38.00 | 59.36 *** |
| 20–24 | 1614 | 63.01 | 948 | 36.99 | |
| 25–29 | 2585 | 59.13 | 1787 | 40.87 | |
| 30–34 | 2937 | 57.53 | 2168 | 42.47 | |
| 35–39 | 3132 | 58.59 | 2213 | 41.41 | |
| 40–44 | 2713 | 61.32 | 1712 | 38.68 | |
| 45–49 | 2355 | 64.62 | 1289 | 35.38 | |
| Education level | |||||
| No school | 87 | 77.48 | 25 | 22.52 | 294.53 *** |
| Primary | 4326 | 67.62 | 2071 | 32.38 | |
| Secondary | 9136 | 59.65 | 6180 | 40.35 | |
| Higher | 2061 | 50.64 | 2009 | 49.36 | |
| Occupation | |||||
| Not working | 6112 | 60.95 | 3916 | 39.05 | 2.81 |
| Working | 9498 | 59.86 | 6369 | 40.14 | |
| Head of household | |||||
| Men | 14,514 | 60.21 | 9590 | 39.79 | 0.62 |
| Women | 1096 | 61.19 | 695 | 38.81 | |
| Wealth index | |||||
| Poorest | 2110 | 70.76 | 872 | 29.24 | 256.14 *** |
| Poorer | 2993 | 63.87 | 1693 | 36.13 | |
| Middle | 3371 | 61.22 | 2135 | 38.78 | |
| Richer | 3605 | 58.06 | 2604 | 41.94 | |
| Richest | 3531 | 54.22 | 2981 | 45.78 | |
| Resident | |||||
| Rural | 7579 | 64.19 | 4228 | 35.81 | 128.11 *** |
| Urban | 8031 | 57.01 | 6057 | 42.99 | |
| Province | |||||
| West of Indonesia | 12,846 | 58.70 | 9039 | 41.30 | 140.80 *** |
| Middle of Indonesia | 2423 | 69.53 | 1062 | 30.47 | |
| East of Indonesia | 341 | 64.92 | 184 | 35.08 | |
| Access to internet | |||||
| Never | 9413 | 65.19 | 5026 | 34.81 | 317.08 *** |
| <1 per week | 396 | 61.13 | 252 | 38.87 | |
| ≥1 per week | 5801 | 53.67 | 5007 | 46.33 | |
| Access to television | |||||
| Never | 311 | 60.32 | 204 | 39.68 | 0.07 |
| <1 per week | 1541 | 60.04 | 1026 | 39.96 | |
| ≥1 per week | 13,758 | 60.31 | 9054 | 39.69 | |
| Exposure to newspaper | |||||
| Never | 9482 | 62.14 | 5777 | 37.86 | 84.35 *** |
| <1 per week | 4738 | 59.29 | 3253 | 40.71 | |
| ≥1 per week | 1390 | 52.56 | 1255 | 47.44 | |
| Access to radio | |||||
| Never | 9286 | 61.16 | 5898 | 38.84 | 28.74 *** |
| <1 per week | 4259 | 60.55 | 2776 | 39.45 | |
| ≥1 per week | 2065 | 56.17 | 1611 | 43.83 | |
| Mobile phone | |||||
| No | 3214 | 68.55 | 1475 | 31.45 | 151.14 *** |
| Yes | 12,396 | 58.46 | 8810 | 41.54 | |
| Autonomy | |||||
| Low | 2207 | 60.76 | 1425 | 39.24 | 0.37 |
| High | 13,403 | 60.21 | 8860 | 39.79 | |
| Women’s attitudes towards wife-beating | |||||
| Agree | 2909 | 64.15 | 1626 | 35.85 | 31.73 *** |
| Disagree | 12,701 | 59.46 | 8659 | 40.54 | |
*** χ2 < 0.001.
3.3. Multiple Logistic Regression Analysis
The final multiple logistic regression models in Table 4 were adjusted for association across variables. People aged 45–49 years old were 181% more likely to have good knowledge of HIV/AIDS compared to women aged 15–19 [1.81(1.26–2.60)]. Women with higher education levels were 6 times more likely to have good knowledge compared to women who received no education at all [6.32(3.59–11.11)]. Women in the richest wealth index were 167% more likely to have good knowledge of HIV/AIDS compared to women with the poorest wealth index [1.67(1.32–2.10)]. Women who lived in urban areas and East of Indonesia Province were 137% [1.37(1.22–1.54)] and 128% [1.28(1.00–1.68)] more likely to have good knowledge compared to those in rural areas and the middle Indonesia Provinces, respectively. Women who accessed information from the internet ≥1 per week were 174% more likely to have good knowledge compared to women who never access the internet [1.74(1.50–2.03)]. Women who were exposed to a newspaper ≥1 per week were as much as 132% more likely to have good knowledge than those never exposed to newspaper [1.32(1.04–1.67)]. This study found that women who access the information through radio ≥1 per week have a 131% [1.31(1.11–1.56)] propensity to acquire good knowledge compared to women who never access radio. Women who access information through a mobile phone were 126% [(1.26 (1.12–1.44)] more likely to have good knowledge compared to those who do not access from a mobile phone. Women with high autonomy were 123% more likely to have good knowledge compared to those with low autonomy [1.23(1.05–1.44)].
Table 4.
Multiple logistic regression analysis of socioeconomic and demographic and knowledge-attitudes toward HIV/AIDS among women aged 15–49 years old in Indonesia.
| Variable | Good Knowledge | Positive Attitudes | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||
| Lower | Upper | Lower | Upper | |||
| Age (years) | ||||||
| 15–19 | 1.00 | 1.00 | ||||
| 20–24 | 1.40 | 0.97 | 2.01 | 0.87 | 0.65 | 1.16 |
| 25–29 | 1.47 * | 1.04 | 2.09 | 1.00 | 0.75 | 1.33 |
| 30–34 | 1.77 ** | 1.25 | 2.51 | 1.11 | 0.84 | 1.46 |
| 35–39 | 2.12 *** | 1.49 | 3.00 | 1.10 | 0.83 | 1.46 |
| 40–44 | 2.04 *** | 1.44 | 2.90 | 1.02 | 0.77 | 1.36 |
| 45–49 | 1.81 ** | 1.26 | 2.60 | 0.90 | 0.68 | 1.20 |
| Education level | ||||||
| No school | 1.00 | 1.00 | ||||
| Primary | 1.54 | 0.92 | 2.57 | 1.35 | 0.75 | 2.41 |
| Secondary | 2.86 *** | 1.71 | 4.78 | 1.64 | 0.922 | 2.93 |
| Higher | 6.32 *** | 3.59 | 11.11 | 2.05 * | 1.14 | 3.68 |
| Wealth index | ||||||
| Poorest | 1.00 | 1.00 | ||||
| Poorer | 0.98 | 0.83 | 1.16 | 1.21 ** | 1.06 | 1.38 |
| Middle | 1.08 | 0.91 | 1.28 | 1.23 ** | 1.08 | 1.40 |
| Richer | 1.29 ** | 1.07 | 1.56 | 1.26 ** | 1.10 | 1.44 |
| Richest | 1.67 *** | 1.32 | 2.10 | 1.22 ** | 1.05 | 1.41 |
| Resident | ||||||
| Rural | 1.00 | 1.00 | ||||
| Urban | 1.37 *** | 1.22 | 1.54 | 1.11 * | 1.03 | 1.21 |
| Province | ||||||
| West of Indonesia | 1.27 *** | 1.12 | 1.45 | 1.59 *** | 1.46 | 1.73 |
| Middle of Indonesia | 1.00 | 1.00 | ||||
| East of Indonesia | 1.28 * | 1.00 | 1.68 | 1.32 ** | 1.12 | 1.57 |
| Access to Internet | ||||||
| Never | 1.00 | 1.00 | ||||
| <1 per week | 1.17 | 0.87 | 1.57 | 1.13 | 0.92 | 1.38 |
| ≥1 per week | 1.74 *** | 1.50 | 2.03 | 1.26 ** | 1.15 | 1.37 |
| Access to television | ||||||
| Never | 1.00 | 1.00 | ||||
| <1 per week | 0.85 | 0.59 | 1.22 | 0.79 | 0.61 | 1.03 |
| ≥1 per week | 0.98 | 0.70 | 1.37 | 0.78 | 0.62 | 1.00 |
| Exposure to newspaper | ||||||
| Never | 1.00 | 1.00 | ||||
| <1 per week | 1.07 | 0.95 | 1.20 | 1.02 | 0.94 | 1.11 |
| ≥1 per week | 1.32 * | 1.04 | 1.67 | 1.07 | 0.95 | 1.20 |
| Access to radio | ||||||
| Never | 1.00 | 1.00 | ||||
| <1 per week | 1.10 | 0.97 | 1.24 | 0.96 | 0.89 | 1.05 |
| ≥1 per week | 1.31 ** | 1.11 | 1.56 | 1.13 * | 1.03 | 1.24 |
| Mobile phone | ||||||
| No | 1.00 | 1.00 | ||||
| Yes | 1.26 *** | 1.12 | 1.44 | 1.17 ** | 1.06 | 1.29 |
| Autonomy | ||||||
| Low | 1.00 | 1.00 | ||||
| High | 1.23 ** | 1.05 | 1.44 | 0.99 | 0.89 | 1.09 |
| Women’s attitudes towards wife-beating | ||||||
| Agree | 1.00 | 1.00 | ||||
| Disagree | 1.08 | 0.95 | 1.22 | 1.10 * | 1.00 | 1.19 |
* p-value < 0.05. ** p-value < 0.01. *** p-value < 0.001.
There was no association observed in terms of access to television, newspaper and autonomy with positive attitudes toward HIV/AIDS.
4. Discussion
In this study, we found socio-economic and demographic factors were associated with knowledge and attitudes of HIV/AIDS among women aged 15–49 years. Among the representative sample in this study, more than three quarters (88.74%) had a high level of knowledge, while more than half (60.28%) of women had negative attitudes toward PLWHA, revealing the tendencies of women in understanding information on HIV/AIDS. Even though the study population was significantly knowledgeable about HIV/AIDS, negative attitudes towards PLWHA showed that accepting PLWHA still requires reasonable efforts and resources. Our study highlights the need for public and/or specific group awareness about HIV/AIDS, as suggested in previous studies [34,35,36]. Negative attitudes toward PLWHA may lead to persistent discrimination and their persistent rejection by community members [37,38,39]. Our study indicated that a high level of knowledge about HIV/AIDS does not translate to more positive attitudes and revealed the critical social barrier for PLWHA in Indonesia.
Our findings revealed that women’s age played a vital role in possessing a high level of knowledge, while age was not associated with attitudes toward HIV/AIDS. Consistent with previous studies [20,40,41], age was associated with the person’s opportunity to gather additional and appropriate information considered necessary for daily life. Mature age can be attributed to greater exposure to sexual health education, such as training related to sexual health and HIV/AIDS. One explanation why age was not associated with attitudes might be because age is related to someone’s experience during their lifetime, while attitude represents a complex processes within human perception that can change constantly depending on specific situations [42].
Our study confirmed the findings of previous studies indicating that higher education was associated with knowledge and attitudes toward HIV/AIDS among women of reproductive age [20,43,44]. This may be due to educational attainment acts which have made information more easily accessible and better promoted the reception of such knowledge [18]. Further, appropriate resources might foster better knowledge and attitudes toward PLWHA, which can assist in the problem of HIV/AIDS infection, treatment, and transmission [18,45,46].
Further, our study found that socio-economic and demographic factors, including residing in urban areas, living in the West of Indonesia, having access to mass media, and having mobile phones were associated with knowledge and attitudes on HIV/AIDS. These results are similar to previous studies conducted in other countries such as India, Bangladesh, and Pakistan [34,47,48]. Our findings indicate an urgent need to target women from urban areas and who are exposed to mass media through appropriate campaigns [49]. Related to the current context of infectious diseases, the easy availability and accessibility of health information online can improve patient knowledge and practice related to HIV/AIDS [50,51]. A similar study also found that most people have a good level of knowledge and understand of preventative actions related to infectious disease such as COVID-19 [52]. In the Indonesian setting, robust policies and strategic programs have utilized the ABCDE (Abstinence, Be faithful, Condom, Do not use drugs, Education) campaigns to reduce the risk of contracting HIV in the East of Indonesia. A series of efforts has been made through promotional activities, counselling, and voluntary testing and treatment; however, HIV/AIDS cases remain high in East of Indonesia, especially in the Papua region [8]. Practical policies supplemented with local insights may need to be tested at the provincial level to understand how to achieve a better outcome.
Moreover, our study revealed that those women who were well-educated and with a more affluent wealth index were more likely to show good knowledge and positive attitudes towards HIV/AIDS. This finding aligns with another study conducted in South Sudan where wealth quintiles had a significant relationship with comprehensive knowledge and positive attitudes towards people with HIV/AIDS [22]. The ability of women to actively empower themselves with knowledge on HIV/AIDS relates to the personal awareness and comprehensive understanding of women about HIV/AIDS. These findings are also consistent with other studies conducted in Ethiopia and Pakistan [47,52] which suggested that women’s autonomy is vital to address the effect of HIV/AIDS on women’s health. Further, our findings showed that women who disagreed with wife-beating were more likely to have positive attitudes towards HIV/AIDS [47,52,53].
This study has certain strengths that should be highlighted. Our paper is the first survey report on socio-economic and demographic factors associated with knowledge and attitudes of HIV/AIDS among women aged 15–49 years old in Indonesia using well-recommended global tools. All data utilized in the analysis were weighted to reflect the statistical interpretation with rigorous methodology and techniques. A significant limitation of our study related to the completeness of data available from the DHS website [33], which intended to capture demographic and health indicators in Indonesia. The limitation of this study was found to be the study design which was cross-sectional; therefore, we cannot infer the causality here. Due to the use of secondary data, we also had no control over the confounding factors and indicators. Despite these limitations, the findings are important for the formulation of more effective policies concerning knowledge and attitudes toward HIV/AIDS.
5. Conclusions
This study analyzed socio-economic and demographic factors associated with knowledge and attitudes toward HIV/AIDS among women aged 15–49 years old in Indonesia. In order to combat HIV/AIDS in Indonesia, issues of knowledge and attitudes toward HIV/AIDS still must be addressed. In general, women with a higher level of education, higher wealth status, living in an urban area, residing in West Indonesia and having access to the Internet, radio, and mobile phones had significantly better levels of knowledge and positive attitudes towards HIV/AIDS. Our findings indicate that HIV/AIDS knowledge and attitudes related to personal background, place, and mode of media contributed to a high level of knowledge and positive attitudes towards HIV/AIDS. Appropriate health education programs are recommended as the key to increasing the level of comprehensive knowledge and attitudes related to HIV/AIDS among women. A health education campaign should be launched based on sociodemographic considerations by working with the local governments and relevant stakeholders.
Author Contributions
Conceptualization: F.D.V., F.E., T.K., L.M., K.R. Methodology: F.D.V., F.E., T.K., Q.E.S.A., L.M., K.R. Formal analysis: F.D.V., F.E., T.K., L.M., K.R. Writing—Original draft preparation: F.D.V., F.E., T.K., Q.E.S.A., L.M., K.R., I.A.S. Writing—Review and editing: F.E., T.K., Q.E.S.A., L.M., K.R., I.A.S. Funding acquisition: F.E. Resources: F.E., T.K., Q.E.S.A., L.M., K.R. Supervision: F.E., T.K., Q.E.S.A., L.M., K.R. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of ICF IRB (protocol code FWA00000845, 03/11/2015).
Data Availability Statement
Data are available from https://dhsprogram.com/data/available-datasets.cfm (accessed on 4 January 2022) by applying through the DHS program via the website. The authors had no special access privileges to these data.
Conflicts of Interest
The authors confirm no known conflict of interest associated with this publication.
Funding Statement
This research received no external funding.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available from https://dhsprogram.com/data/available-datasets.cfm (accessed on 4 January 2022) by applying through the DHS program via the website. The authors had no special access privileges to these data.
